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boc/iom/integrations/arcgis/README.md
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Bernt bae705aa97 ARCHITECTURE: NFC roadmap, edge AI, audit logging
- Add NFC ePassport roadmap (ICAO 9303, eIDAS)
- Add TensorFlow.js edge face detection (BlazeFace)
- Add structured audit logger (GDPR-compliant)
- Risk scoring support

Part of KYC Apple Native UX v1.1.0
2026-06-29 16:24:48 +00:00

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# Landvex ArcGIS Toolbox
> ArcGIS Pro toolbox for integrating Landvex urban intelligence data.
## Features
- 📍 **Load Observations** — Import as feature class
- 🌡️ **RGI Heatmap** — Raster visualization
- 🏙️ **UMI Layer** — Urban Morphology Index
- 📤 **Export to Landvex** — Upload local data
- 🎨 **Smart Symbology** — Color-coded by condition
## Installation
1. Download `landvex-arcgis.zip`
2. Extract to `C:\\Users\\<user>\\Documents\\ArcGIS\\Toolboxes\\`
3. Open ArcGIS Pro
4. Catalog → Toolboxes → Add Toolbox → Select `Landvex.pyt`
## Tools
### Load Observations
**Parameters:**
- API URL — Landvex API endpoint
- API Key — Authentication key
- Bounding Box — Optional spatial filter
- Output Feature Class — Result location
**Output Fields:**
| Field | Type | Description |
|-------|------|-------------|
| obs_id | Text | Observation ID |
| obj_type | Text | Infrastructure type |
| condition | Short | 1-5 condition score |
| zoomer | Text | Observer name |
| status | Text | pending/approved/rejected |
| obs_date | Date | Observation date |
| rgi_score | Double | Reality Gap Index |
### Load RGI Heatmap
Creates raster grid of Reality Gap Index values.
**Parameters:**
- API URL
- API Key
- Grid Resolution (meters)
- Output Raster
### Export to Landvex
Upload local feature class to Landvex platform.
**Parameters:**
- Input Feature Class
- API URL
- API Key
## Requirements
- ArcGIS Pro 2.8+
- Python 3.7+
- Internet connection
## License
MIT